Complex Networks & Their Applications X

Volume 1, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021
 
 
Springer (Verlag)
  • erscheint ca. am 1. Februar 2022
 
  • Buch
  • |
  • Hardcover
  • |
  • XXV, 851 Seiten
978-3-030-93408-8 (ISBN)
 

This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the X International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2021). The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, network dynamics; diffusion, epidemics and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks, and technological networks.


1st ed. 2022
  • Englisch
  • Cham
  • |
  • Schweiz
Springer International Publishing
  • Für Beruf und Forschung
  • 200
  • |
  • 109 farbige Abbildungen, 200 s/w Abbildungen
  • |
  • XXX, 1070 p.
  • Höhe: 23.5 cm
  • |
  • Breite: 15.5 cm
978-3-030-93408-8 (9783030934088)
10.1007/978-3-030-93409-5
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This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the X International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2021). The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, network dynamics; diffusion, epidemics and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks, and technological networks.

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